Shickel B, Tighe PJ, Bihorac A, Rashidi P. Deep EHR: a survey of recent advances in deep learning techniques for electronic health record (EHR) analysis. IEEE journal of biomedical and health informatics. 2017;22(5):1589-1604.
Viceconti M, Hunter P, Hose R. Big data, big knowledge: big data for personalized healthcare. IEEE journal of biomedical and health informatics. 2015;19(4):1209-1215.
Ravi D, Wong C, Lo B, Yang G-Z. A deep learning approach to on-node sensor data analytics for mobile or wearable devices. IEEE journal of biomedical and health informatics. 2016;21(1):56-64.
Shahin M, Ahmed B, Hamida ST-B, Mulaffer FL, Glos M, Penzel T. Deep learning and insomnia: assisting clinicians with their diagnosis. IEEE journal of biomedical and health informatics. 2017;21(6):1546-1553.
Zhang L, Lu L, Nogues I, Summers RM, Liu S, Yao J. DeepPap: deep convolutional networks for cervical cell classification. IEEE journal of biomedical and health informatics. 2017;21(6):1633-1643.
Yap MH, Pons G, Martí J, et al. Automated breast ultrasound lesions detection using convolutional neural networks. IEEE journal of biomedical and health informatics. 2017;22(4):1218-1226.
Gao Z, Wang L, Zhou L, Zhang J. HEp-2 cell image classification with deep convolutional neural networks. IEEE journal of biomedical and health informatics. 2016;21(2):416-428.
Nguyen P, Tran T, Wickramasinghe N, Venkatesh S. $\mathtt {Deepr} $: a convolutional net for medical records. IEEE journal of biomedical and health informatics. 2016;21(1):22-30.
Hannink J, Kautz T, Pasluosta CF, Gaßmann K-G, Klucken J, Eskofier BM. Sensor-based gait parameter extraction with deep convolutional neural networks. IEEE journal of biomedical and health informatics. 2016;21(1):85-93.
Wang Q, Zheng Y, Yang G, Jin W, Chen X, Yin Y. Multiscale rotation-invariant convolutional neural networks for lung texture classification. IEEE journal of biomedical and health informatics. 2017;22(1):184-195.
Qiu JX, Yoon H-J, Fearn PA, Tourassi GD. Deep learning for automated extraction of primary sites from cancer pathology reports. IEEE journal of biomedical and health informatics. 2017;22(1):244-251.
Choi E, Bahadori MT, Schuetz A, Stewart WF, Sun J. Doctor ai: Predicting clinical events via recurrent neural networks. Paper presented at: Machine Learning for Healthcare Conference2016.
Pham T, Tran T, Phung D, Venkatesh S. Deepcare: A deep dynamic memory model for predictive medicine. Paper presented at: Pacific-Asia Conference on Knowledge Discovery and Data Mining2016.
Tran T, Nguyen TD, Phung D, Venkatesh S. Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM). Journal of biomedical informatics. 2015;54:96-105.
Choi E, Bahadori MT, Searles E, et al. Multi-layer representation learning for medical concepts. Paper presented at: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining2016.
Wu S-G, Li F-Y, Chen Y, et al. Therapeutic role of axillary lymph node dissection in patients with stage IV breast cancer: a population-based analysis. Journal of cancer research and clinical oncology. 2017;143(3):467-474.
Bender PFM, de Oliveira LL, Costa CR, de Aguiar SS, Bergmann A, Thuler LCS. Men and women show similar survival rates after breast cancer. Journal of cancer research and clinical oncology. 2017;143(4):563-571.
Voelkel V, Draeger T, Groothuis-Oudshoorn CG, et al. Predicting the risk of locoregional recurrence after early breast cancer: an external validation of the Dutch INFLUENCE-nomogram with clinical cancer registry data from Germany. Journal of cancer research and clinical oncology. 2019:1-11.
Ignatov A, Eggemann H, Burger E, Ignatov T. Patterns of breast cancer relapse in accordance to biological subtype. Journal of cancer research and clinical oncology. 2018;144(7):1347-1355.
Kim YR, Kim SY. Machine learning identifies a core gene set predictive of acquired resistance to EGFR tyrosine kinase inhibitor. Journal of cancer research and clinical oncology. 2018;144(8):1435-1444.
Gordon-Dseagu VL, Devesa SS, Goggins M, Stolzenberg-Solomon R. Pancreatic cancer incidence trends: evidence from the Surveillance, Epidemiology and End Results (SEER) population-based data. International journal of epidemiology. 2017;47(2):427-439.
Hill F, Cho K, Korhonen A. Learning distributed representations of sentences from unlabelled data. arXiv preprint arXiv:160203483. 2016.
Kim Y-J, Kim J-S, Kim IA. Molecular subtype predicts incidence and prognosis of brain metastasis from breast cancer in SEER database. Journal of cancer research and clinical oncology. 2018;144(9):1803-1816.
Lee H-Y, Tseng B-H, Wen T-H, Tsao Y. Personalizing recurrent-neural-network-based language model by social network. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2016;25(3):519-530.
Zhang D, Wang J, Zhao X. Estimating the uncertainty of average F1 scores. 2015.
Zhang Y, Wallace B. A sensitivity analysis of (and practitioners' guide to) convolutional neural networks for sentence classification. arXiv preprint arXiv:151003820. 2015.